Company Description
Inetum is a European leader in digital services. For businesses, public sector organizations, and society as a whole, the group’s 26,000 consultants and specialists work every day to create tangible digital impact: solutions that contribute to performance, innovation, and the common good.
With a presence in 19 countries, working closely with local communities, and alongside its major software developer partners, Inetum supports organizations in their digital transformation challenges with proximity, flexibility, and responsibility. Driven by its purpose, Inetum champions a vision of technology that is useful and well-managed, capable of unlocking the full potential of organizations and society: “Let’s make tech right.”
In 2025, the group generated revenue of 2.2 billion euros.
More information at: www.inetum.com
Job Description
Mission
Design, develop, and maintain scalable backend services, secure microservices, and cloud-based platform components that enable high-performance AI applications. Ensure reliability, security, scalability, and seamless integration between AI solutions, enterprise systems, and cloud infrastructure.
Responsibilities:
- Design and develop highly scalable, resilient, and secure microservices and RESTful/GraphQL APIs.
- Build and maintain backend services that support AI platforms and applications.
- Integrate business databases, third-party services, and internal legacy platforms with AI engines.
- Optimize backend performance, latency, and resource utilization to support real-time AI inference and model hosting.
- Implement enterprise-grade security controls, including authentication, authorization (RBAC), and rate limiting.
- Establish and promote development best practices, clean code standards, and code quality processes.
- Create and maintain integration and automated tests to ensure application reliability.
- Conduct code reviews and support engineering quality initiatives.
- Collaborate with AI Engineers to deploy AI models and services in containerized environments.
- Design and implement cloud-native solutions leveraging AWS and other cloud platforms.
- Support the deployment, monitoring, and maintenance of production systems.
Qualifications
Professional Experience
- 5-10 years of experience in Backend Engineering, Software Engineering, Platform Engineering, or related fields.
- Proven experience building scalable, resilient, and secure enterprise applications.
- Experience designing cloud-native architectures and distributed systems.
- Experience working in Agile software development environments.
Technical Skills
- Strong programming skills in Python and Node.js.
- Hands-on experience with AWS cloud services.
- Experience designing and developing RESTful APIs and/or GraphQL services.
- Strong understanding of microservices architecture.
- Experience integrating applications with databases, enterprise systems, and external APIs.
- Experience implementing authentication and authorization mechanisms, including RBAC.
- Knowledge of containerization technologies and Docker environments.
- Experience with development best practices:
- Git
- CI/CD pipelines
- Automated testing
- Code reviews
- Version control
Nice to Have
- Experience with Azure cloud services.
- Experience supporting AI/ML platforms or AI-powered applications.
- Experience working in Financial Services or Insurance environments.
- Familiarity with high-availability and high-performance distributed systems.
Additional Information
Benefits
- Full access to foreign language learning platform
- Personalized access to tech learning platforms
- Tailored workshops and trainings to sustain your growth
- Medical insurance
- Meal tickets
- Monthly budget to allocate on flexible benefit platform
- Access to 7 Card services
- Wellbeing activities and gatherings